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Semantically-Enhanced Model-Experiment-Evaluation Processes (SeMEEPs) within the Atmospheric Chemistry Community

Martin, C, Haji, MH, Dew, P, Pilling, M and Jimack, P (2008) Semantically-Enhanced Model-Experiment-Evaluation Processes (SeMEEPs) within the Atmospheric Chemistry Community. In: Freire, J, Koop, D and Moreau, L, (eds.) Provenance and Annotation of Data and Processes. Second International Provenance and Annotation Workshop, 17-18 June 2008, Salt Lake City,UT, USA. Springer , 293 - 308 . ISBN 978-3-540-89964-8

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Abstract

The scientific model development process is often documented in an ad-hoc unstructured manner leading to difficulty in attributing provenance to data products. This can cause issues when the data owner or other interested stakeholder seeks to interpret the data at a later date. In this paper we discuss the design, development and evaluation of a Semantically-enhanced Electronic Lab-Notebook to facilitate the capture of provenance for the model development process, within the atmospheric chemistry community. We then proceed to consider the value of semantically enhanced provenance within the wider community processes, Semantically-enhanced Model-Experiment Evaluation Processes (SeMEEPs), that leverage data generated by experiments and computational models to conduct evaluations.

Item Type: Proceedings Paper
Academic Units: The University of Leeds > Faculty of Engineering (Leeds) > School of Computing (Leeds)
The University of Leeds > Faculty of Maths and Physical Sciences (Leeds) > School of Chemistry (Leeds)
The University of Leeds > Faculty of Engineering (Leeds) > School of Process, Environmental and Materials Engineering (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 05 Mar 2012 16:04
Last Modified: 08 Feb 2013 17:37
Status: Published
Publisher: Springer
Related URLs:
URI: http://eprints.whiterose.ac.uk/id/eprint/43750

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